Zenith Services Inc.
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 8+ years of experience, strong Python and Snowflake skills, and familiarity with machine learning and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 13, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Python #GCP (Google Cloud Platform) #Scala #Snowflake #Cloud #Data Pipeline #AWS (Amazon Web Services) #Azure #ML (Machine Learning) #Data Integration #Data Engineering
Role description
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.
Key Responsibilities:
• Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
• Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
• Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
• Build and optimize data models and architecture to support analytics and reporting needs.
• Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
• Explore opportunities to incorporate machine learning solutions into data engineering workflows.
Qualifications:
• 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
• Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
• Extensive experience working with offshore and cross-functional teams.
• Excellent communication, problem-solving, and teamwork skills.
• Experience with machine learning concepts and applications.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
• Knowledge of CI/CD pipelines for data and ML workflows.
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.
Key Responsibilities:
• Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
• Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
• Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
• Build and optimize data models and architecture to support analytics and reporting needs.
• Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
• Explore opportunities to incorporate machine learning solutions into data engineering workflows.
Qualifications:
• 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
• Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
• Extensive experience working with offshore and cross-functional teams.
• Excellent communication, problem-solving, and teamwork skills.
• Experience with machine learning concepts and applications.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
• Knowledge of CI/CD pipelines for data and ML workflows.
